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Border Face Recognition Experiment: Prone to Errors, Unstoppable

Border Face Recognition Experiment: Prone to Errors, Unstoppable

The Department of Homeland Security Seeks Private Sector Help for Face Recognition at the Southern Border

The Department of Homeland Security is looking to enhance border security by implementing face recognition technology to scan drivers and passengers approaching the southern border. Despite concerns about the effectiveness of this technology, DHS aims to capture biometric data of travelers while their vehicles are in motion.

A recently released “Request for Information” document reveals DHS is seeking assistance from the private sector to conduct face recognition scans on occupants of vehicles before they reach a border checkpoint. This initiative is aimed at identifying potential threats and determining eligibility to enter the United States.

However, privacy advocates like Dave Maass from the Electronic Frontier Foundation caution against the intrusive nature of face recognition technology. These concerns are compounded by past challenges faced by DHS in accurately capturing facial images of travelers.

As DHS continues to explore the use of biometric technology at the border, questions remain about the accuracy of face recognition systems and their impact on individual privacy. The need for robust data protection measures and transparency in the use of these technologies is more crucial than ever.



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